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AzureML hpo Workbook #461

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4 changes: 2 additions & 2 deletions source/_includes/check-gpu-pod-works.md
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@@ -1,7 +1,7 @@
Let's create a sample pod that uses some GPU compute to make sure that everything is working as expected.

```console
$ cat << EOF | kubectl create -f -
```bash
cat << EOF | kubectl create -f -
apiVersion: v1
kind: Pod
metadata:
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8 changes: 4 additions & 4 deletions source/cloud/azure/aks.md
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Expand Up @@ -22,8 +22,8 @@ $ az login

Now we can launch a GPU enabled AKS cluster. First launch an AKS cluster.

```console
$ az aks create -g <resource group> -n rapids \
```bash
az aks create -g <resource group> -n rapids \
--enable-managed-identity \
--node-count 1 \
--enable-addons monitoring \
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`````

```console
$ az aks nodepool add \
```bash
az aks nodepool add \
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--resource-group <resource group> \
--cluster-name rapids \
--name gpunp \
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2 changes: 1 addition & 1 deletion source/cloud/azure/azureml.md
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Expand Up @@ -32,7 +32,7 @@ The compute instance provides an integrated Jupyter notebook service, JupyterLab

Sign in to [Azure Machine Learning Studio](https://ml.azure.com/) and navigate to your workspace on the left-side menu.

Select **Compute** > **+ New** > choose a [RAPIDS compatible GPU](https://medium.com/dropout-analytics/which-gpus-work-with-rapids-ai-f562ef29c75f) VM size (e.g., `Standard_NC12s_v3`)
Select **Compute** > **+ New** (Create compute instance) > choose a [RAPIDS compatible GPU](https://medium.com/dropout-analytics/which-gpus-work-with-rapids-ai-f562ef29c75f) VM size (e.g., `Standard_NC12s_v3`)

![Screenshot of create new notebook with a gpu-instance](../../images/azureml-create-notebook-instance.png)

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6 changes: 3 additions & 3 deletions source/examples/rapids-azureml-hpo/notebook.ipynb
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Expand Up @@ -100,9 +100,9 @@
"# Get a handle to the workspace\n",
"ml_client = MLClient(\n",
" credential=DefaultAzureCredential(),\n",
" subscription_id=\"fc4f4a6b-4041-4b1c-8249-854d68edcf62\",\n",
" resource_group_name=\"rapidsai-deployment\",\n",
" workspace_name=\"rapids-aml-cluster\",\n",
" subscription_id= #FILL IN WITH YOUR AZURE ML CREDENTIALS,\n",
" resource_group_name= #FILL IN WITH YOUR AZURE ML CREDENTIALS,\n",
" workspace_name= #FILL IN WITH YOUR AZURE ML CREDENTIALS,\n",
")\n",
"\n",
"print(\n",
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